A Methodological Approach for Monitoring Assembly Processes

Abstract

To enable transparency of assembly systems feedback on physical progress is crucial. However, this currently requires manual operator feedback, which risks reducing the productivity of the assembly system. Technologies such as IoT sensors have been developed to increase the transparency of process states by generating suitable information for further data-driven use. The identification of the correct measurement parameters of the sensors themselves makes industrial application more difficult. This article presents a methodological approach to identify the correct measurement points in the assembly process and shows an efficient way to signal analysis of corresponding IoT sensors. In a test scenario, the assembly progress of a toy truck was continuously monitored based on the methodical procedure and thus the transparency in the assembly process was increased.